inflamer

INFLAMeR: a machine learning algorithm based on large-scale perturbation screening identified new lncRNAs regulating differentiation and survival of leukaemia cells

https://github.com/razielar/inflamer

Science Score: 67.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • CITATION.cff file
    Found CITATION.cff file
  • codemeta.json file
    Found codemeta.json file
  • .zenodo.json file
    Found .zenodo.json file
  • DOI references
    Found 4 DOI reference(s) in README
  • Academic publication links
    Links to: zenodo.org
  • Academic email domains
  • Institutional organization owner
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (3.4%) to scientific vocabulary
Last synced: 10 months ago · JSON representation ·

Repository

INFLAMeR: a machine learning algorithm based on large-scale perturbation screening identified new lncRNAs regulating differentiation and survival of leukaemia cells

Basic Info
  • Host: GitHub
  • Owner: razielar
  • License: mit
  • Language: Jupyter Notebook
  • Default Branch: main
  • Homepage:
  • Size: 854 KB
Statistics
  • Stars: 0
  • Watchers: 1
  • Forks: 0
  • Open Issues: 0
  • Releases: 1
Created almost 3 years ago · Last pushed over 2 years ago
Metadata Files
Readme License Citation

README.md

INFLAMer

DOI

Citing

bibtex @software{raziel_amador_rios_2023_10251592, author = {Raziel Amador Rios}, title = {razielar/INFLAMer: v.0.1.0}, month = dec, year = 2023, publisher = {Zenodo}, version = {v0.1.0}, doi = {10.5281/zenodo.10251592}, url = {https://doi.org/10.5281/zenodo.10251592} }

Owner

  • Name: Raziel Amador Rios
  • Login: razielar
  • Kind: user
  • Location: Barcelona, Spain

Data-Scientist & Linux-enthusiast

Citation (CITATION.cff)

cff-version: 1.2.0
message: "If you use this software, please cite it as below."
authors:
- family-names: "Amador"
  given-names: "Raziel"
title: "INFLAMer"
version: 0.1.0
doi: 10.5281/zenodo.10251592
date-released: 2023-12-02
url: "https://doi.org/10.5281/zenodo.10251592"

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Dependencies

requirements.txt pypi
  • matplotlib ==3.3.4
  • numpy ==1.21.2
  • pandas ==1.1.3
  • seaborn ==0.11.0
  • shap ==0.39.0
  • sklearn ==0.24.1
  • xgboost ==1.3.3